PhD Studentship: Wireless Communication, Signal Processing, and AI
This PhD studentship focuses on developing AI-native and sensing-aware wireless systems, integrating machine learning, signal processing, and optimisation to enable co-designed communication and sensing. The research spans theoretical development to lightweight hardware prototyping, targeting high-impact publications in IEEE and AI venues. Candidates will explore directions such as distributed learning, resource allocation, reconfigurable radio environments, or performance-guaranteed algorithms.